HW8 Visualizations
Source: Dataset
Python: Notebook
This is my submission for my homework 8 assignment.
1. Visualization Num. 1
For the first visualization, I created a bar chart to illustrate the distribution of building usage across different congressional districts. Each bar represents a congressional district, and the height of the bar indicates the count of buildings in that district. I encoded the congressional district on the x-axis and the count of buildings on the y-axis. Additionally, I applied a color scheme to differentiate between different usage descriptions, allowing viewers to easily identify the predominant types of buildings in each district. In terms of data transformations, I preprocessed the dataset by filtering out any rows with missing values and grouped the data by congressional district and usage description to obtain the count of buildings for each category.
```html ‘<!DOCTYPE html>\n<html>\n<head>\n \n \n \n \n</head>\n<body>\n <div id="vis"></div>\n \n</body>\n</html>’
2. Visualization Num. 2
For the second visualization, I created an interactive scatter plot showing the relationship between the year a building was acquired and its square footage. Each point on the plot represents a building, with the x-axis representing the year acquired and the y-axis representing the square footage. I used a sequential color scheme to represent the usage description, enabling viewers to visually identify different types of buildings based on their colors.
’<!DOCTYPE html>\n<html>\n<head>\n \n \n \n \n</head>\n<body>\n <div id="vis"></div>\n \n</body>\n</html>’